{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "Chapter 10\n",
    "# 绘制一行两列子图\n",
    "Book_1《编程不难》 | 鸢尾花书：从加减乘除到机器学习"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.linspace(0, 2 * np.pi, 100)\n",
    "y_sin = np.sin(x)\n",
    "y_cos = np.cos(x)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2024-07-09T16:32:42.903724Z",
     "end_time": "2024-07-09T16:32:43.469502Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x400 with 2 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建图形对象和子图布局\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4), sharey=True)\n",
    "\n",
    "# 在左子图中绘制正弦函数曲线，设置为蓝色\n",
    "ax1.plot(x, y_sin, color='blue')\n",
    "ax1.set_title('Sine function')\n",
    "ax1.set_xlabel('x')\n",
    "ax1.set_ylabel('f(x)', rotation='horizontal', ha='right')\n",
    "ax1.set_xlim(0, 2 * np.pi)\n",
    "ax1.set_ylim(-1.5, 1.5)\n",
    "x_ticks = np.arange(0, 2 * np.pi + np.pi / 2, np.pi)\n",
    "x_ticklabels = [r'$0$', r'$\\pi$', r'$2\\pi$']\n",
    "ax1.set_xticks(x_ticks)\n",
    "ax1.set_xticklabels(x_ticklabels)\n",
    "ax1.grid(True)\n",
    "ax1.set_aspect('equal')\n",
    "\n",
    "# 在右子图中绘制余弦函数曲线，设置为红色\n",
    "ax2.plot(x, y_cos, color='red')\n",
    "ax2.set_title('Cosine function')\n",
    "ax2.set_xlabel('x')\n",
    "ax2.set_ylabel('f(x)', rotation='horizontal', ha='right')\n",
    "ax2.set_xlim(0, 2 * np.pi)\n",
    "ax2.set_ylim(-1.5, 1.5)\n",
    "ax2.set_xticks(x_ticks)\n",
    "ax2.set_xticklabels(x_ticklabels)\n",
    "ax2.grid(True)\n",
    "ax2.set_aspect('equal')\n",
    "\n",
    "# 调整子图之间的间距\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2024-07-09T16:32:43.476484Z",
     "end_time": "2024-07-09T16:32:43.782490Z"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
